{"id":"W2954166008","doi":"10.3390/en12132465","title":"Wind Farm Layout Upgrade Optimization","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Al-Azhar University","keywords":"Upgrade; Wind power; Offshore wind power; Grid; Range (aeronautics); Production (economics); Cost of electricity by source; Energy (signal processing); Electricity generation; Marine engineering; Engineering; Computer science; Power (physics); Electrical engineering; Mathematics; Aerospace engineering; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005328584,0.0009356069,0.0008997511,0.0004637411,0.0002684936,0.0006418117,0.0006559613,0.0008619768,0.004752477],"category_scores_gemma":[0.001283761,0.000506592,0.0006517522,0.000596809,0.0002871707,0.0008540684,0.0004513137,0.0005931567,0.000544968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006597576,"about_ca_system_score_gemma":0.0005708337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001598051,"about_ca_topic_score_gemma":0.002747567,"domain_scores_codex":[0.9996921,0.00009076329,0.00001056904,0.00006725531,0.00006474075,0.0000745497],"domain_scores_gemma":[0.9995844,0.0001814851,0.00005916605,0.00005430402,0.00008943473,0.00003115364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005513981,0.00003769975,0.0008991083,0.0001005532,0.00002144045,0.0001003984,0.00001558312,0.9577338,0.004652522,0.0008857883,0.001087293,0.03441072],"study_design_scores_gemma":[0.00002955395,0.0002578748,0.002182491,0.00001695445,0.00004152999,0.0001250632,0.00006759653,0.9897283,0.002263545,0.001497993,0.003775758,0.00001341548],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3894287,0.001059406,0.5825049,0.000249043,0.0002230989,0.0002538408,0.0007719301,0.001295814,0.02421317],"genre_scores_gemma":[0.8921117,0.0003354173,0.1010811,0.0000597476,0.00002736143,0.0001053991,0.0005461781,0.0001443601,0.005588846],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004752477,"threshold_uncertainty_score":0.01589864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005574525527387297,"score_gpt":0.1903469248818127,"score_spread":0.1847723993544254,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}